Coronary Atlas

Just like we come in all different sizes and shapes, so do our arteries. Our team drives a personalised medicine approach by accounting for such individual differences.

We're expanding the largest coronary artery population vessel shape and flow database to date. Machine learning and sophisticated statistics can help us to understand which patients are at a higher risk after experimental and computational analysis.

Ultimately, this will help heart disease patients worldwide by providing a reliable and early risk assessment, improving patient care and enable patient-specific treatment.

Selected publications

• Medrano-Gracia P; Ormiston J; Webster M; Beier S; Ellis C; Wang C; Smedby Ö; Young A; Cowan B, 2017, A Study of Coronary Bifurcation Shape in a Normal Population, Journal of Cardiovascular Translational Research, vol. 10, pp. 82 - 90, http://dx.doi.org/10.1007/s12265-016-9720-2
• Medrano-Gracia P; Ormiston J; Webster M; Beier S; Young A; Ellis C; Wang C; Smedby Ö; Cowan B, 2016, A computational atlas of normal coronary artery anatomy, EuroIntervention, vol. 12, pp. 845 - 854, http://dx.doi.org/10.4244/EIJV12I7A139
• Beier S; Ormiston J; Webster M; Cater J; Norris S; Medrano-Gracia P; Young A; Cowan B, 2016, Impact of bifurcation angle and other anatomical characteristics on blood flow - A computational study of non-stented and stented coronary arteries, Journal of Biomechanics, vol. 49, pp. 1570 - 1582, http://dx.doi.org/10.1016/j.jbiomech.2016.03.038